Hands-on, industry-aligned training to turn your degree into a job-ready portfolio. Build 6+ real projects, master the tools employers use, and get career support focused on the Australian market.
Know more about Data Engineering
We designed the program around the real gaps that block fresh graduates from landing data roles.
Our Solution
Our Solution
Our Solution
Our Solution
Live sessions, self-paced learning, hands-on labs, and real-time mentor support.
2×/week expert-led classes with demos and Q&A, plus 40+ hours of structured videos.
AWS, Azure, Snowflake, and Databricks with $200 cloud credits for projects.
Portfolio-ready builds to showcase ETL, streaming, warehousing, and MLOps.
Responsible data engineering with bias, privacy, and compliance foundations.
Resume & LinkedIn build, portfolio, mock interview, and 3 months of job search support.
GlofAI certificate and digital badge to display on LinkedIn and your resume.
Each week combines theory, guided labs, and a production-style project.
Summary: Roles, pipelines, and data lifecycles; hands-on with relational DBs and core SQL to query structured data.
SELECT, WHERE, joins, aggregates, AWS RDS/Azure SQL.Summary: Take SQL further and design efficient, normalized schemas for analytics and OLTP.
GROUP BY, HAVING, subqueries, CTEs, window functions; 1NF–3NF, keys, indexes; ER diagrams; roles.Summary: Use Python to collect, clean, and automate data tasks with files and APIs; version control and CLI basics.
Summary: Build robust ETL/ELT flows and model warehouses for analytics; schedule and test your transforms.
Summary: Streaming concepts with Kafka and cloud services; ship infra with Docker & Terraform and wire CI/CD.
Summary: Connect data engineering with ML pipelines and governance; interview prep and final capstone.
Showcase everything you learned in one production-style build. This is the centrepiece of your job portfolio.
You'll pitch your theme in Week 5 and build in Week 6 with mentor guidance.
After Week 6, upgrade to :
Our graduates walk away with:
Mentors, community, toolchains, and job launch support — all built in.
Personal guidance from pro data engineers every two weeks.
Weekly group sessions + 24/7 Discord support — never get stuck alone.
Work hands-on with AWS, Azure, Snowflake, Databricks, Docker, dbt, Airflow & more.
Resume, LinkedIn, portfolio workshops, mock interviews, and job leads included.
Earn an industry-recognized credential and a digital badge you can add to your LinkedIn within minutes of completion.
Real feedback from learners who transitioned into data roles.
Seats are limited to maintain quality mentorship and peer support.
We aim to keep the program accessible. Limited scholarships and flexible plans are available.
Apply now or talk to an advisor. Seats are limited.